Natural Programming ❤️️ with TypeChat & Semantic Kernel

The age of programming via natural language has come to pass.

Today we use sk and typechat to code a .net sample.

Example 1: Controlling Computers with Natural Language

In this code, OpenAI will provide a snippet of executable code.
Demonstration of creating a directory, writing the string "hello" into a file named b.txt, and then inquiring about the contents of the newly created b.txt file:

Create a directory named "test" in the current directory, within which create a file named b.txt and write the string "hello" into it.

def program(api: IPluginApi):
    step1 = api.get_current_directory()
    step2 = api.concatenate(step1, "/test")
    step3 = api.make_directory(step2)
    step4 = api.concatenate(step2, "/b.txt")
    step5 = api.write_file(step4, "hello")
    return step5

Display the contents of the b.txt file located in the "test" directory.

def program(api: IPluginApi):
    step1 = api.set_current_directory("test")
    step2 = api.read_file("b.txt")
    step3 = api.output(step2)
    return step3

Executing the program will yield the output:

hello

In conclusion, programming control over the computer has been achieved through the use of natural language.

Example 2: Ordering with Natural Language, a cappuccino with added sugar

Feature: Natural language generates JSON

I'll have a cappuccino, and please add sugar.

##YOUR ORDER
{
  "items": [
    {
      "$type": "LatteDrinks",
      "productName": "cappuccino",
      "options": [
        {
          "$type": "Sweetners",
          "optionName": "sugar"
        }
      ],
      "quantity": 1
    }
  ]
}
Success!

It's possible that we could then transmit the resulting JSON to a food delivery API, thereby actualizing the order process.
For an in-depth understanding of how to utilize this feature:

Create AI agents with Semantic Kernel
​learn.microsoft.com/zh-cn/semantic-kernel/overview/

TypeChat
​microsoft.github.io/TypeChat/